This page has only limited features, please log in for full access.

Unclaimed
Hai Lan
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

HAI LAN was born in 1975. He received a Ph.D. degree in automation from Harbin Engineering University, Harbin, China, in 2004. He is a Professor with Harbin Engineering University, Harbin, China. His current research interests include micro grid, ship power system analysis, and control theory.

Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 11 May 2021 in Energies
Reads 0
Downloads 0

Within large turboalternators, the excessive local temperatures and spatially distributed temperature differences can accelerate the deterioration of electrical insulation as well as lead to deformation of components, which may cause major machine malfunctions. In order to homogenise the stator axial temperature distribution whilst reducing the maximum stator temperature, this paper presents a novel non-uniform radial ventilation ducts design methodology. To reduce the huge computational costs resulting from the large-scale model, the stator is decomposed into several single ventilation duct subsystems (SVDSs) along the axial direction, with each SVDS connected in series with the medium of the air gap flow rate. The calculation of electromagnetic and thermal performances within SVDS are completed by finite element method (FEM) and computational fluid dynamics (CFD), respectively. To improve the optimization efficiency, the radial basis function neural network (RBFNN) model is employed to approximate the finite element analysis, while the novel isometric sampling method (ISM) is designed to trade off the cost and accuracy of the process. It is found that the proposed methodology can provide optimal design schemes of SVDS with uniform axial temperature distribution, and the needed computation cost is markedly reduced. Finally, results based on a 15 MW turboalternator show that the peak temperature can be reduced by 7.3 °C (6.4%). The proposed methodology can be applied for the design and optimisation of electromagnetic-thermal coupling of other electrical machines with long axial dimensions.

ACS Style

Ruiye Li; Peng Cheng; Hai Lan; Weili Li; David Gerada; Yingyi Hong. Stator Non-Uniform Radial Ventilation Design Methodology for a 15 MW Turbo-Synchronous Generator Based on Single Ventilation Duct Subsystem. Energies 2021, 14, 2760 .

AMA Style

Ruiye Li, Peng Cheng, Hai Lan, Weili Li, David Gerada, Yingyi Hong. Stator Non-Uniform Radial Ventilation Design Methodology for a 15 MW Turbo-Synchronous Generator Based on Single Ventilation Duct Subsystem. Energies. 2021; 14 (10):2760.

Chicago/Turabian Style

Ruiye Li; Peng Cheng; Hai Lan; Weili Li; David Gerada; Yingyi Hong. 2021. "Stator Non-Uniform Radial Ventilation Design Methodology for a 15 MW Turbo-Synchronous Generator Based on Single Ventilation Duct Subsystem." Energies 14, no. 10: 2760.

Journal article
Published: 04 November 2020 in Journal of Energy Storage
Reads 0
Downloads 0

Along with the development of renewable energy generation technology, energy storage system (ESS), highly effective equipment for suppressing renewable energy fluctuations, plays an indispensable part in power system. A two-step method is proposed to optimally allocate ESS and droop controller considering ESS performances in time domain. In the first step, the top ranked solutions of EES size and locations are determined by economic analysis and Power Sensitivity Analysis (PSA). In the second step, using the solutions obtained in step one as the constraint of solution space, a new Multi-objective Particle Swarm Optimization-Non-dominated Sorting Genetic Algorithm Ⅲ (MOPSONSGA Ⅲ) based on Transient Stability Analysis (TSA) is proposed. Optimization objectives are ESS capital cost and the time-domain voltage and frequency performances subject to a sudden change of wind power. Compared with traditional optimal allocation schemes of ESS, the proposed method produces a economical ESS allocation scheme, while the fluctuation of frequency is cut by 57% and the times of the frequency beyond the limit is reduced by 30% in the IEEE-34 bus system.

ACS Style

He Yin; Hai Lan; David C. Yu; Ying-Yi Hong; Rui-Ye Li. An improved optimal allocation scheme of energy storage system in a distribution system based on transient stability. Journal of Energy Storage 2020, 34, 101977 .

AMA Style

He Yin, Hai Lan, David C. Yu, Ying-Yi Hong, Rui-Ye Li. An improved optimal allocation scheme of energy storage system in a distribution system based on transient stability. Journal of Energy Storage. 2020; 34 ():101977.

Chicago/Turabian Style

He Yin; Hai Lan; David C. Yu; Ying-Yi Hong; Rui-Ye Li. 2020. "An improved optimal allocation scheme of energy storage system in a distribution system based on transient stability." Journal of Energy Storage 34, no. : 101977.

Journal article
Published: 30 June 2020 in Energies
Reads 0
Downloads 0

The extensive use of finite element models accurately simulates the temperature distribution of electrical machines. The simulation model can be quickly modified to reflect changes in design. However, the long runtime of the simulation prevents any direct application of the optimization algorithm. In this paper, research focused on improving efficiency with which expensive analysis (finite element method) is used in generator temperature distribution. A novel surrogate model based optimization method is presented. First, the Taguchi orthogonal array relates a series of stator geometric parameters as input and the temperatures of a generator as output by sampling the design decision space. A number of stator temperature designs were generated and analyzed using 3-D multi-physical field collaborative finite element model. A suitable shallow neural network was then selected and fitted to the available data to obtain a continuous optimization objective function. The accuracy of the function was verified using randomly generated geometric parameters to the extent that they were feasible. Finally, a multi-objective genetic optimization algorithm was applied in the function to reduce the average and maximum temperature of the machine simultaneously. As a result, when the Pareto front was compared with the initial data, these temperatures showed a significant decrease.

ACS Style

Ruiye Li; Peng Cheng; Yingyi Hong; Hai Lan; He Yin. Design Synchronous Generator Using Taguchi-Based Multi-Objective Optimization. Energies 2020, 13, 3337 .

AMA Style

Ruiye Li, Peng Cheng, Yingyi Hong, Hai Lan, He Yin. Design Synchronous Generator Using Taguchi-Based Multi-Objective Optimization. Energies. 2020; 13 (13):3337.

Chicago/Turabian Style

Ruiye Li; Peng Cheng; Yingyi Hong; Hai Lan; He Yin. 2020. "Design Synchronous Generator Using Taguchi-Based Multi-Objective Optimization." Energies 13, no. 13: 3337.

Journal article
Published: 31 December 2019 in IEEE Transactions on Sustainable Energy
Reads 0
Downloads 0
ACS Style

Shuli Wen; Chi Zhang; Hai Lan; Yan Xu; Yi Tang; Yuqing Huang. A Hybrid Ensemble Model for Interval Prediction of Solar Power Output in Ship Onboard Power Systems. IEEE Transactions on Sustainable Energy 2019, 12, 14 -24.

AMA Style

Shuli Wen, Chi Zhang, Hai Lan, Yan Xu, Yi Tang, Yuqing Huang. A Hybrid Ensemble Model for Interval Prediction of Solar Power Output in Ship Onboard Power Systems. IEEE Transactions on Sustainable Energy. 2019; 12 (1):14-24.

Chicago/Turabian Style

Shuli Wen; Chi Zhang; Hai Lan; Yan Xu; Yi Tang; Yuqing Huang. 2019. "A Hybrid Ensemble Model for Interval Prediction of Solar Power Output in Ship Onboard Power Systems." IEEE Transactions on Sustainable Energy 12, no. 1: 14-24.

Journal article
Published: 18 December 2019 in Energies
Reads 0
Downloads 0

Renewable energy ship was regarded as one of the ship energy technologies with a good prospect. In order to study the application of solar and wind energy on ships in the marine environment and the impact of ship rolling on the system, the feasibility of applying solar energy and wind energy to ships was analyzed, and the structural composition of ship power system incorporating renewable energy source was studied. The model of the ship power system integrated with renewable energy was built in PSCAD/EMTDC simulation software. The layout of wind power generation system and photovoltaic power generation system was given for the actual ship, and the ship parameters and specific parameters of each simulation module were determined. It can be seen that the rolling of ship will cause fluctuations in the grid-connected power of the photovoltaic power generation system and the wind power generation system from the comparison of the simulation curves. Finally, a simulation experiment is provided to prove the access of the battery can well suppress the grid-connected power fluctuation caused by the rolling of the ship, which has an important impact on the stability of the ship power system with renewable energy.

ACS Style

Peng Cheng; Ning Liang; Ruiye Li; Hai Lan; Qian Cheng. Analysis of Influence of Ship Roll on Ship Power System with Renewable Energy. Energies 2019, 13, 1 .

AMA Style

Peng Cheng, Ning Liang, Ruiye Li, Hai Lan, Qian Cheng. Analysis of Influence of Ship Roll on Ship Power System with Renewable Energy. Energies. 2019; 13 (1):1.

Chicago/Turabian Style

Peng Cheng; Ning Liang; Ruiye Li; Hai Lan; Qian Cheng. 2019. "Analysis of Influence of Ship Roll on Ship Power System with Renewable Energy." Energies 13, no. 1: 1.

Journal article
Published: 03 October 2019 in Energy
Reads 0
Downloads 0

As a special mobile microgrid, an all-electric ship (AES) utilizes diesel generators and energy storage systems to provide electric propulsion and service loads. Unlike previous studies of the minimization of the AES operation using auxiliary energy storage systems, this paper exploits existing shipboard thermal storage and thermal load as a virtual energy storage system to reduce both operating cost and greenhouse gas emissions. To achieve this goal, a joint optimization model is developed optimally to coordinate the voyage scheduling and power generation of the AES under various load conditions. Thermal load and propulsion load optimization are considered in demand-side management. The problem is formulated mathematically as a multi-objective economic dispatch problem and solved by the particle swarm optimization (PSO) algorithm combined with non-dominated sorting genetic algorithm II (NSGA-II). A typical navigation route is selected for the case studies and simulation results demonstrate that the proposed joint optimization method reduces cost and greenhouse gas emissions by 17.4% and 23.6%, respectively, from those achieved using current fixed voyage generation scheduling methods. The environment friendliness and energy efficiency are further improved by coordinated penetration of the thermal storage dispatch into generation and voyage scheduling.

ACS Style

Yuqing Huang; Hai Lan; Ying-Yi Hong; Shuli Wen; Sidun Fang. Joint voyage scheduling and economic dispatch for all-electric ships with virtual energy storage systems. Energy 2019, 190, 116268 .

AMA Style

Yuqing Huang, Hai Lan, Ying-Yi Hong, Shuli Wen, Sidun Fang. Joint voyage scheduling and economic dispatch for all-electric ships with virtual energy storage systems. Energy. 2019; 190 ():116268.

Chicago/Turabian Style

Yuqing Huang; Hai Lan; Ying-Yi Hong; Shuli Wen; Sidun Fang. 2019. "Joint voyage scheduling and economic dispatch for all-electric ships with virtual energy storage systems." Energy 190, no. : 116268.

Journal article
Published: 22 May 2019 in Energy
Reads 0
Downloads 0

Owing to the depletion of oil reserves and the low efficiency of traditional deep-water semi-submersible drilling platforms, the application of photovoltaic generation and energy storage systems in marine power systems has been increasingly attracting attention. However, the intermittent and uncertain nature of solar energy brings crucial challenges in maintaining stable and sustainable operations. Furthermore, unlike land-based power systems, the deep-water semi-submersible drilling platform depends on a dynamic positioning system to be fixed in an area of deep water for producing oil, but irregular and stochastic waves make the outputs of a dynamic positioning system uncertain, increasing the difficulty and complexity of energy management. This paper develops a novel hybrid day-ahead probabilistic scheduling method to reduce the total fuel cost of the whole system and improve the energy efficiency; the method combines Taguchi’s orthogonal algorithm with particle swarm optimization and a probabilistic load flow method. A detailed model of the deep-water semi-submersible drilling platform is established to validate the proposed method, which is compared with various classical methods. With the help of the proposed method, the total operation cost and greenhouse gas emissions are reduced from $7562.52 to $7333.68, and from 18.95 tons to 16.81 tons, respectively. Furthermore, compared to the two-point estimation method, the experimental times drops by half, which minimizes the computational burden. The simulation results clearly demonstrate the necessity for day-ahead energy scheduling, and the advantages of the proposed method.

ACS Style

Yuqing Huang; Hai Lan; Ying-Yi Hong; Shuli Wen; He Yin. Optimal generation scheduling for a deep-water semi-submersible drilling platform with uncertain renewable power generation and loads. Energy 2019, 181, 897 -907.

AMA Style

Yuqing Huang, Hai Lan, Ying-Yi Hong, Shuli Wen, He Yin. Optimal generation scheduling for a deep-water semi-submersible drilling platform with uncertain renewable power generation and loads. Energy. 2019; 181 ():897-907.

Chicago/Turabian Style

Yuqing Huang; Hai Lan; Ying-Yi Hong; Shuli Wen; He Yin. 2019. "Optimal generation scheduling for a deep-water semi-submersible drilling platform with uncertain renewable power generation and loads." Energy 181, no. : 897-907.

Journal article
Published: 18 April 2019 in Applied Energy
Reads 0
Downloads 0

Owing to a shortage of fossil fuels, environmental pollution and the greenhouse effect, renewable energy generation has become important in a modern smart grid. However, the characteristics of renewable power generation are volatile and uncertain. This work proposes a new day-ahead spatiotemporal forecasting method for solar irradiation to ensure the efficient operation of power systems. First, the frequency features of a solar irradiation time-series are extracted by discrete Fourier transform (DFT). Principal component analysis (PCA) is then used to identify the crucial frequency features, which are input to an Elman-based neural network to carry out subsequent 24-hour (day ahead) solar irradiation forecasting. Historical weather data from five weather stations that are near the target location are used. Comparative studies of traditional Autoregressive Integrated Moving Average Model (ARIMA), PCA-Back-Propagation (BP)-based neural network, the persistence method, DFT-PCA-BP and the proposed DFT-PCA-Elman method reveal that the proposed method is the most accurate in day-ahead forecasting using spatiotemporal data.

ACS Style

Hai Lan; Chi Zhang; Ying-Yi Hong; Yin He; Shuli Wen. Day-ahead spatiotemporal solar irradiation forecasting using frequency-based hybrid principal component analysis and neural network. Applied Energy 2019, 247, 389 -402.

AMA Style

Hai Lan, Chi Zhang, Ying-Yi Hong, Yin He, Shuli Wen. Day-ahead spatiotemporal solar irradiation forecasting using frequency-based hybrid principal component analysis and neural network. Applied Energy. 2019; 247 ():389-402.

Chicago/Turabian Style

Hai Lan; Chi Zhang; Ying-Yi Hong; Yin He; Shuli Wen. 2019. "Day-ahead spatiotemporal solar irradiation forecasting using frequency-based hybrid principal component analysis and neural network." Applied Energy 247, no. : 389-402.

Journal article
Published: 01 February 2018 in Applied Energy
Reads 0
Downloads 0
ACS Style

Hai Lan; He Yin; Ying-Yi Hong; Shuli Wen; David C. Yu; Peng Cheng. Day-ahead spatio-temporal forecasting of solar irradiation along a navigation route. Applied Energy 2018, 211, 15 -27.

AMA Style

Hai Lan, He Yin, Ying-Yi Hong, Shuli Wen, David C. Yu, Peng Cheng. Day-ahead spatio-temporal forecasting of solar irradiation along a navigation route. Applied Energy. 2018; 211 ():15-27.

Chicago/Turabian Style

Hai Lan; He Yin; Ying-Yi Hong; Shuli Wen; David C. Yu; Peng Cheng. 2018. "Day-ahead spatio-temporal forecasting of solar irradiation along a navigation route." Applied Energy 211, no. : 15-27.

Journal article
Published: 01 December 2017 in Energy
Reads 0
Downloads 0
ACS Style

Shuli Wen; Hai Lan; David. C. Yu; Qiang Fu; Ying-Yi Hong; Lijun Yu; Ruirui Yang. Optimal sizing of hybrid energy storage sub-systems in PV/diesel ship power system using frequency analysis. Energy 2017, 140, 198 -208.

AMA Style

Shuli Wen, Hai Lan, David. C. Yu, Qiang Fu, Ying-Yi Hong, Lijun Yu, Ruirui Yang. Optimal sizing of hybrid energy storage sub-systems in PV/diesel ship power system using frequency analysis. Energy. 2017; 140 ():198-208.

Chicago/Turabian Style

Shuli Wen; Hai Lan; David. C. Yu; Qiang Fu; Ying-Yi Hong; Lijun Yu; Ruirui Yang. 2017. "Optimal sizing of hybrid energy storage sub-systems in PV/diesel ship power system using frequency analysis." Energy 140, no. : 198-208.

Journal article
Published: 04 May 2017 in Energies
Reads 0
Downloads 0

With the increasing penetration of wind power, not only the uncertainties but also the correlation among the wind farms should be considered in the power system analysis. In this paper, Clayton-Copula method is developed to model the multiple correlated wind distribution and a new point estimation method (PEM) is proposed to discretize the multi-correlated wind distribution. Furthermore, combining the proposed modeling and discretizing method with Hybrid Multi-Objective Particle Swarm Optimization (HMOPSO), a comprehensive algorithm is explored to minimize the power system cost and the emissions by searching the best placements and sizes of energy storage system (ESS) considering wind power uncertainties in multi-correlated wind farms. In addition, the variations of load are also taken into account. The IEEE 57-bus system is adopted to perform case studies using the proposed approach. The results clearly demonstrate the effectiveness of the proposed algorithm in determining the optimal storage allocations considering multi-correlated wind farms.

ACS Style

Shuli Wen; Hai Lan; Qiang Fu; David C. Yu; Ying-Yi Hong; Peng Cheng. Optimal Allocation of Energy Storage System Considering Multi-Correlated Wind Farms. Energies 2017, 10, 625 .

AMA Style

Shuli Wen, Hai Lan, Qiang Fu, David C. Yu, Ying-Yi Hong, Peng Cheng. Optimal Allocation of Energy Storage System Considering Multi-Correlated Wind Farms. Energies. 2017; 10 (5):625.

Chicago/Turabian Style

Shuli Wen; Hai Lan; Qiang Fu; David C. Yu; Ying-Yi Hong; Peng Cheng. 2017. "Optimal Allocation of Energy Storage System Considering Multi-Correlated Wind Farms." Energies 10, no. 5: 625.

Original articles
Published: 12 April 2017 in Electric Power Components and Systems
Reads 0
Downloads 0

Due to the global concern on the increasing amount of fossil energy consumed by traditional ships, the application of renewable energy into a ship power system provides a new solution to improve the energy efficiency and to reduce the greenhouse gas emissions. This study proposes a stand-alone power system on a large oil tanker including wind generation system, photovoltaic generation system, the diesel generator, and the energy storage system (ESS). Unlike on land, the wind generation on the shipboard not only relies on the natural wind speed but also the ship's course and speed. The installation of the wind turbines on the board is optimally designed, which takes the relative speed into account. In order to mitigate the intermittence of the renewable energy generation, a lead–acid battery serves as the ESS to enhance the stability of the ship power system, and the size is optimized by the multi-objective particle swarm optimization to minimize the whole system cost and CO2 emissions. Additionally, variations of the ship loads are considered with respect to the different operational conditions. Various cases are compared in detail to demonstrate the applicability of the proposed algorithm.

ACS Style

Shuli Wen; Hai Lan; Jinfeng Dai; Ying-Yi Hong; David C. Yu; Lijun Yu. Economic Analysis of Hybrid Wind/PV/Diesel/ESS System on a Large Oil Tanker. Electric Power Components and Systems 2017, 45, 705 -714.

AMA Style

Shuli Wen, Hai Lan, Jinfeng Dai, Ying-Yi Hong, David C. Yu, Lijun Yu. Economic Analysis of Hybrid Wind/PV/Diesel/ESS System on a Large Oil Tanker. Electric Power Components and Systems. 2017; 45 (7):705-714.

Chicago/Turabian Style

Shuli Wen; Hai Lan; Jinfeng Dai; Ying-Yi Hong; David C. Yu; Lijun Yu. 2017. "Economic Analysis of Hybrid Wind/PV/Diesel/ESS System on a Large Oil Tanker." Electric Power Components and Systems 45, no. 7: 705-714.

Journal article
Published: 14 February 2017 in Applied Sciences
Reads 0
Downloads 0

Due to the increasingly serious energy crisis and environmental pollution problem, traditional fossil energy is gradually being replaced by renewable energy in recent years. However, the introduction of renewable energy into power systems will lead to large voltage fluctuations and high capital costs. To solve these problems, an energy storage system (ESS) is employed into a power system to reduce total costs and greenhouse gas emissions. Hence, this paper proposes a two-stage method based on a back-propagation neural network (BPNN) and hybrid multi-objective particle swarm optimization (HMOPSO) to determine the optimal placements and sizes of ESSs in a transmission system. Owing to the uncertainties of renewable energy, a BPNN is utilized to forecast the outputs of the wind power and load demand based on historic data in the city of Madison, USA. Furthermore, power-voltage (P-V) sensitivity analysis is conducted in this paper to improve the converge speed of the proposed algorithm, and continuous wind distribution is discretized by a three-point estimation method. The Institute of Electrical and Electronic Engineers (IEEE) 30-bus system is adopted to perform case studies. The simulation results of each case clearly demonstrate the necessity for optimal storage allocation and the efficiency of the proposed method.

ACS Style

Hai Lan; He Yin; Shuli Wen; Ying-Yi Hong; David C. Yu; Lijun Zhang. Electrical Energy Forecasting and Optimal Allocation of ESS in a Hybrid Wind-Diesel Power System. Applied Sciences 2017, 7, 155 .

AMA Style

Hai Lan, He Yin, Shuli Wen, Ying-Yi Hong, David C. Yu, Lijun Zhang. Electrical Energy Forecasting and Optimal Allocation of ESS in a Hybrid Wind-Diesel Power System. Applied Sciences. 2017; 7 (2):155.

Chicago/Turabian Style

Hai Lan; He Yin; Shuli Wen; Ying-Yi Hong; David C. Yu; Lijun Zhang. 2017. "Electrical Energy Forecasting and Optimal Allocation of ESS in a Hybrid Wind-Diesel Power System." Applied Sciences 7, no. 2: 155.

Journal article
Published: 01 September 2016 in Renewable and Sustainable Energy Reviews
Reads 0
Downloads 0
ACS Style

Fahd Diab; Hai Lan; Salwa Ali. Novel comparison study between the hybrid renewable energy systems on land and on ship. Renewable and Sustainable Energy Reviews 2016, 63, 452 -463.

AMA Style

Fahd Diab, Hai Lan, Salwa Ali. Novel comparison study between the hybrid renewable energy systems on land and on ship. Renewable and Sustainable Energy Reviews. 2016; 63 ():452-463.

Chicago/Turabian Style

Fahd Diab; Hai Lan; Salwa Ali. 2016. "Novel comparison study between the hybrid renewable energy systems on land and on ship." Renewable and Sustainable Energy Reviews 63, no. : 452-463.

Journal article
Published: 01 August 2016 in Applied Energy
Reads 0
Downloads 0

Owing to low efficiency of traditional ships and the serious environmental pollution that they cause, the use of solar energy and an energy storage system (ESS) in a ship’s power system is increasingly attracting attention. However, the swinging of a ship raises crucial challenges in designing an optimal system for a large oil tanker ship, which are associated with uncertainties in solar energy. In this study, a series of experiments are performed to investigate the characteristics of a photovoltaic (PV) system on a moving ship. Based on the experimental results, an interval uncertainty model of on-board PV generation is established, which considers the effect of the swinging of the ship. Due to the power balance equations, the outputs of the diesel generator and the ESS on a large oil tanker are also modeled using interval variables. An interval optimization method is developed to determine the optimal size of the ESS in this hybrid ship power system to reduce the fuel cost, capital cost of the ESS, and emissions of greenhouse gases. Variations of the ship load are analyzed using a new method, taking five operating conditions into account. Several cases are compared in detail to demonstrate the effectiveness of the proposed algorithm.

ACS Style

Shuli Wen; Hai Lan; Ying-Yi Hong; David C. Yu; Lijun Zhang; Peng Cheng. Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system. Applied Energy 2016, 175, 158 -167.

AMA Style

Shuli Wen, Hai Lan, Ying-Yi Hong, David C. Yu, Lijun Zhang, Peng Cheng. Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system. Applied Energy. 2016; 175 ():158-167.

Chicago/Turabian Style

Shuli Wen; Hai Lan; Ying-Yi Hong; David C. Yu; Lijun Zhang; Peng Cheng. 2016. "Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system." Applied Energy 175, no. : 158-167.

Conference paper
Published: 26 June 2016 in ASME 2016 Power Conference
Reads 0
Downloads 0

Hybrid Renewable Energy System (HRES) is an attractive system for stand-alone electrification in remote areas. The hydrokinetic power avoids all the disadvantages of hydropower, unlike dams that have obstructed the natural water flow and ended up displacing animals and people. The main objective of this research work is to provide a feasibility study of using SMART MONOFLOAT hydrokinetic power in hybrid photovoltaic (PV)/HKT/diesel/battery system to satisfy the electrical energy needs for the selected rural households in Naga Hammadi, Egypt in this study. The SMART MONOFLOAT hydrokinetic turbine has been used as it was developed to produce a maximum amount of electrical power with the kinetic energy of flowing water. The well-known Hybrid Optimization of Multiple Electric Renewables (HOMER) software is used as a software tool in this study. The 22-year average monthly solar radiation data for the selected rural households in Naga Hammadi, located at latitude of 26.013 and longitude of 32.32 was obtained from National Aeronautics and Space Administration (NASA) database. The average monthly current velocity data of the Nile River used in this study was collected for a single year during 1991 after construction of the Aswan Dam in 1904. According to the simulation results in this work, it was found that the optimum HRES consisting of; 90 kW PV panels, 90 kW HKTs, 22 kW diesel generators, 60 kW power converters and 225 batteries. In addition to that, a great reduction in greenhouse gases (GHG) emission during the project lifetime could be achieved by using the optimum system.

ACS Style

Fahd Diab; Hai Lan. Feasibility Study of SMART MONOFLOAT Hydrokinetic Power for the Rural Households in Naga Hammadi, Egypt. ASME 2016 Power Conference 2016, 1 .

AMA Style

Fahd Diab, Hai Lan. Feasibility Study of SMART MONOFLOAT Hydrokinetic Power for the Rural Households in Naga Hammadi, Egypt. ASME 2016 Power Conference. 2016; ():1.

Chicago/Turabian Style

Fahd Diab; Hai Lan. 2016. "Feasibility Study of SMART MONOFLOAT Hydrokinetic Power for the Rural Households in Naga Hammadi, Egypt." ASME 2016 Power Conference , no. : 1.

Journal article
Published: 09 March 2016 in Inventions
Reads 0
Downloads 0

Due the concern about serious environmental pollution and fossil energy consumption, introducing solar generation into ship power systems has drawn greater attention. However, the penetration of solar energy will result in ship power system instability caused by the uncertainties of the solar irradiation. Unlike on land, the power generated by photovoltaic (PV) modules on the shipboard changes as the ship rolls. In this paper, a high-speed flywheel energy storage system (FESS) is modeled to smooth the PV power fluctuations and improve the power quality on a large oil tanker which contains a PV generation system, a diesel generator, a FESS, and various types of ship loads. Furthermore, constant torque angle control method combined with sinusoidal pulse width modulation (SPWM) approach is proposed to control the FESS charging and discharging. Different ship operating situations and the impact of the ship rolling is taken into consideration. The simulation results demonstrate the high efficiency and fast response of the flywheel energy storage system to enhance the stability of the proposed hybrid ship power system.

ACS Style

Hai Lan; Yifei Bai; Shuli Wen; David C. Yu; Ying-Yi Hong; Jinfeng Dai; Peng Cheng. Modeling and Stability Analysis of Hybrid PV/Diesel/ESS in Ship Power System. Inventions 2016, 1, 5 .

AMA Style

Hai Lan, Yifei Bai, Shuli Wen, David C. Yu, Ying-Yi Hong, Jinfeng Dai, Peng Cheng. Modeling and Stability Analysis of Hybrid PV/Diesel/ESS in Ship Power System. Inventions. 2016; 1 (1):5.

Chicago/Turabian Style

Hai Lan; Yifei Bai; Shuli Wen; David C. Yu; Ying-Yi Hong; Jinfeng Dai; Peng Cheng. 2016. "Modeling and Stability Analysis of Hybrid PV/Diesel/ESS in Ship Power System." Inventions 1, no. 1: 5.

Journal article
Published: 01 January 2016 in Journal of Cleaner Production
Reads 0
Downloads 0

The potential for using clean energy technologies in Egypt is good given the abundant solar insolation and wind resources. In contrast, many factories have suffered significant losses due to frequent blackouts in Egypt, especially at peak times of load demand. Moreover, the aim of this paper is to provide a detailed feasibility and a techno-economic evaluation of using hybrid photovoltaic/wind/diesel/battery system to satisfy the electrical energy needs for an environmentally friendly factory in New Borg El Arab city, Egypt and the city surrounding the factory. Utilizing the well-known Hybrid Optimization of Multiple Electric Renewables software to get the optimal configuration of a hybrid renewable energy system, based on the user inputs of loads, components costs, components technical details, solar and wind resources availability. The hybrid renewable energy system consisting of 60 kW of photovoltaic arrays, 100 kW of wind turbines, 40 kW of diesel generators, 50 kW of power converters and 600 batteries is found to be the optimal hybrid configuration in accordance with the system net present cost and cost of energy. The net present cost of this system is $1,684,118 and the cost of energy is $0.19/kWh. Additionally, the optimum system is the most environmentally friendly system in comparison with the other systems configurations specifically the diesel only system, because it is able to reduce a significant amount of greenhouse gases emissions. Strive to achieve the plan to become New Borg El Arab city, the first environmentally friendly Egyptian city in the near future by increasing the applications in this city that depend on the clean energy. Additionally, the same work could be applied to any other site in the world. Finally, an accurate separate techno-economic analysis of each component in the optimum hybrid renewable energy system is carried out in this study

ACS Style

Fahd Diab; Hai Lan; Lijun Zhang; Salwa Ali. An environmentally friendly factory in Egypt based on hybrid photovoltaic/wind/diesel/battery system. Journal of Cleaner Production 2016, 112, 3884 -3894.

AMA Style

Fahd Diab, Hai Lan, Lijun Zhang, Salwa Ali. An environmentally friendly factory in Egypt based on hybrid photovoltaic/wind/diesel/battery system. Journal of Cleaner Production. 2016; 112 ():3884-3894.

Chicago/Turabian Style

Fahd Diab; Hai Lan; Lijun Zhang; Salwa Ali. 2016. "An environmentally friendly factory in Egypt based on hybrid photovoltaic/wind/diesel/battery system." Journal of Cleaner Production 112, no. : 3884-3894.

Journal article
Published: 01 November 2015 in Applied Energy
Reads 0
Downloads 0

Owing to the strict restrictions imposed by the Marine Pollution Protocol and the rapid development of renewable energy, the use of solar generation and energy storage systems in ship power systems has been increasingly attracting attention. However, the improper sizing of a hybrid power generation system in a ship power system will result in a high investment cost and increased greenhouse gas emission. This paper proposes a method for determining the optimal size of the photovoltaic (PV) generation system, the diesel generator and the energy storage system in a stand-alone ship power system that minimizes the investment cost, fuel cost and the CO2 emissions. The power generation from PV modules on a ship relies on the date, local time, time zone, longitude and latitude along a navigation route and is different from the conditions of power systems on land. Thus, a method, which takes the seasonal and geographical variation of solar irradiations and temperatures along the route from Dalian in China to Aden in Yemen into account, for correcting the output of PV modules is developed in this paper. The proposed method considers five conditions along the navigation route to model the total ship load. Four cases are studied in details to demonstrate the applicability of the proposed algorithm

ACS Style

Hai Lan; Shuli Wen; Ying-Yi Hong; David C. Yu; Lijun Zhang. Optimal sizing of hybrid PV/diesel/battery in ship power system. Applied Energy 2015, 158, 26 -34.

AMA Style

Hai Lan, Shuli Wen, Ying-Yi Hong, David C. Yu, Lijun Zhang. Optimal sizing of hybrid PV/diesel/battery in ship power system. Applied Energy. 2015; 158 ():26-34.

Chicago/Turabian Style

Hai Lan; Shuli Wen; Ying-Yi Hong; David C. Yu; Lijun Zhang. 2015. "Optimal sizing of hybrid PV/diesel/battery in ship power system." Applied Energy 158, no. : 26-34.

Journal article
Published: 15 October 2015 in Energies
Reads 0
Downloads 0

This study optimizes the tilt angle of photovoltaic (PV) panels on a large oil tanker ship system and considers the impact of partial shading to improve the performance of the PV system. This work presents a novel method that considers the difference between the expected and real outputs of PV modules to optimize the size of energy storage system (ESS). The method also takes into account the cost of wasted power, the capital cost of the system, fuel cost and the CO2 emissions. Unlike on land, power generation using a PV on a ship depends on the date, latitude and longitude of the navigation. Accordingly, this work considers a route from Dalian in China to Aden in Yemen, accounting for the seasonal and geographical variations of solar irradiation. This proposed method adopts five conditions associated with the navigation route to model the total shipload. Various cases are discussed in detail to demonstrate the effectiveness of the proposed algorithm.

ACS Style

Hai Lan; Jinfeng Dai; Shuli Wen; Ying-Yi Hong; David C. Yu; Yifei Bai. Optimal Tilt Angle of Photovoltaic Arrays and Economic Allocation of Energy Storage System on Large Oil Tanker Ship. Energies 2015, 8, 11515 -11530.

AMA Style

Hai Lan, Jinfeng Dai, Shuli Wen, Ying-Yi Hong, David C. Yu, Yifei Bai. Optimal Tilt Angle of Photovoltaic Arrays and Economic Allocation of Energy Storage System on Large Oil Tanker Ship. Energies. 2015; 8 (10):11515-11530.

Chicago/Turabian Style

Hai Lan; Jinfeng Dai; Shuli Wen; Ying-Yi Hong; David C. Yu; Yifei Bai. 2015. "Optimal Tilt Angle of Photovoltaic Arrays and Economic Allocation of Energy Storage System on Large Oil Tanker Ship." Energies 8, no. 10: 11515-11530.